code: def __init__(
      self,
      metric: Optional[str] = None,
      mode: Optional[str] = None,
  ):
      super().__init__(metric=metric, mode=mode)
      self._trial_count = 0
  
imports: import collections
  import json
  import os
  from pathlib import Path
  import random
  import time
  from typing import Dict, List, Optional
  import ray
  from ray import train, tune
  from ray.train.data_parallel_trainer import DataParallelTrainer
  from ray.tune.experiment import Trial
  from ray.train.tests.util import create_dict_checkpoint, load_dict_checkpoint
label_desc: Use image node_id 1 to create a new StatefulSearcher object from inherited base classes: tune.search with example: obj = StatefulSearcher(metric, mode)